Uncertainty quantification of aeroacoustic power sources in corrugated pipes

Uncertainty quantification of aeroacoustic power sources in corrugated pipes

Swamy, M.
Shoeibi Omrani, P.
González Díez, N.

2015

Gas transport in corrugated pipes often exhibit whistling behavior, due to periodic flow-induced pulsations generated in the pipe cavities. These aero-acoustic sources are strongly dependent on the geometrical dimensions and features of the cavities. As a result, uncertainties in the exact shape and geometry play a significant role in determining the singing behavior of corrugated pipes. While predictive modelling for idealized periodic structures is well established, this paper focusses on the sensitivity analysis and uncertainty quantification (UQ) of uncertain geometrical parameters using probabilistic models. The two most influential geometrical parameters varied within this study are the cavity width and downstream edge radius. Computational Fluid Dynamics (CFD) analysis was used to characterize the acoustic source. Stochastic collocation method was used for propagation of input parameter uncertainties. The analysis was performed with both full tensor product grid and sparse grid based on level-2 Clenshaw-Curtis points. The results show that uncertainties in the width and downstream edge radius of the cavity have an effect on the acoustic source power, peak Strouhal number and consequently the whistling onset velocity. Based on the assumed input parameters distribution functions, the confidence levels for the prediction of onset velocity were calculated. Finally, the results show the importance of performing uncertainty analysis to get more insights in the source of errors and consequently leading to a more robust design or risk-management oriented decision.

Fluid & Solid Mechanics
HTFD - Heat Transfer & Fluid Dynamics
TS - Technical Sciences
Mechanics
Industrial Innovation
Acoustic noise measurement
Aeroacoustics
Computational fluid dynamics
Distribution functions
Electric power transmission networks
Fluid structure interaction
Geometry
Orifices
Periodic structures
Pressure vessels
Risk assessment
Risk management
Sensitivity analysis
Tensors
Confidence levels
Corrugated pipes
Geometrical dimensions
Predictive modelling
Probabilistic models
Stochastic collocation method
Uncertainty quantifications

http://resolver.tudelft.nl/uuid:43b1e618-b28e-4036-acbd-dab22f18ee5f

533051

American Society of Mechanical Engineers ASME

9780791856970

0277-027X

ASME 2015 Pressure Vessels and Piping Conference, PVP 2015, 19-23 July 2015, Boston, MA, USA, 4

conference paper